ilastik
the interactive learning and segmentation toolkit
Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.
Train using simple brush strokes
Semantic segmentation using predicted class probabilities
Predict the semantic class of objects
Extract objects from a 3D volume semi-automatically
Select from a simple set of predefined image features
Count densely packed cells
Automatic and manual tracking of dividing cells (2D+3D)
Get in touch with other users at forum.image.sc or contact the friendly ilastik team directly.
We are happy to announce a new ilastik release. Detailed release notes can be found here, in short, it’s much better, go ahead and try! We have new colors, 2D features for 3D data, training data is no longer required in batch processing, and much more.